Abstract
In this paper, we present a framework used for creating, training, and testing SOM neural networks, which are used to recognize student learning styles under different pedagogical models. The SOMs are part of the student model of Intelligent Tutoring Systems we implemented for mobile devices and Web-based Learning Systems. The main contribution of this paper is the framework to build SOMs which can be used with any pedagogical model of learning styles. The SOM network produced with our framework has been tested with mobile devices and a system of web-based learning.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Cofield, F., Moseley, D., Hall, E., Ecclestone, K.: Learning styles and pedagogy in post-16 learning: A systematic and critical review. Institute of Education University of London, University of Newcastle, University of Newcastle, University of Exeter, London, United Kingdom. Learning and Skills Research Centre, Cromwell Press Ltd. (2004)
Felder, R.M.: Matters of style. Department of Chemical Engineering, North Carolina State University Raleigh. ASEE Prism 6(4), 18–23 (1996)
Carmona, C., Castillo, G., Millán, E.: Designing a Bayesian Network for Modeling Student’s Learning Styles. In: Díaz, P., Kinshuk Aedo, I., Mora, E. (eds.) ICALT 2008, pp. 346–350. IEEE Computer Society, Los Alamitos (2008)
Graf, S., Kinshuk, Liu, T.: Identifying Learning Styles in Learning Management Systems by Using Indications from Students’ behavior. In: Díaz, P., Kinshuk Aedo, I., Mora, E. (eds.) ICALT 2008, pp. 482–486. IEEE Computer Society, Los Alamitos (2008)
Limongelli, C., Sciarrone, F., Vaste, J.: LS-PLAN: An Effective Combination of Dynamic Courseware Generation and Learning Styles in Web-based Education. In: Nejdl, W., Kay, J., Pu, P., Herder, E. (eds.) AH 2008. LNCS, vol. 5149, pp. 133–142. Springer, Heidelberg (2008)
Zatarain-Cabada, R., Barrón-Estrada, M.L., Sandoval, G., Osorio, M., Urías, E., Reyes-García, C.A.: Authoring Neuro-fuzzy Tutoring Systems for M and E-Learning. In: Aguirre, A.H., Borja, R.M., Reyes-García, C.A. (eds.) MICAI 2008. LNCS (LNAI), vol. 5317, pp. 789–796. Springer, Heidelberg (2008)
Felder, R.M., Solomon, B.A.: Index of Learning Styles Questionnaire, http://www.engr.ncsu.edu/learningstyles/ilsweb.html
Murray, T., Blessing, S., Ainsworth, S.: Authoring Tools for Advanced Technology Learning Environments. Kluwer Academic Publishers, Dordrecht (2003)
de Jong, T., Limbach, R., Gellevij, M., Kuyper, M., Pieters, J., Joolingen, W.R.: Cognitive tools to support the instructional design of simulation-based discovery learning environment: the SIMQUEST authoring system. In: Plomp, T.j., van den Akker, J., Nieveen, N., Gustafson, K. (eds.), pp. 215–224. Kluwer Academic Publishers, The Netherlands (1999)
Arruarte, A., Fernández, I., Ferrero, B., Greer, J.: The IRIS Shell: How to build ITSs from Pedagogical and Design Requisites. International Journal of Artificial Intelligence in Education 8, 341–381 (1997)
Brusilovsky, P., Schwarz, E.: Web-based education for all: A tool for developing adaptive courseware. Computer Networks and ISDN Systems 30(1-7), 291–300 (1998)
Carmona, C., Bueno, D., Guzman, E., Conejo, R.: SIGUE: Making Web Courses Adaptive. In: De Bra, P., Brusilovsky, P., Conejo, R. (eds.) AH 2002. LNCS, vol. 2347, pp. 376–379. Springer, Heidelberg (2002)
Weber, G., Kuhl, H.-C., Weibelzahl, S.: Developing adaptive internet based courses with the authoring system NetCoach, http://wwwis.win.tue.nl/ah2001/papers/GWeber-UM01.pdf
Specht, M., Kravcik, M., Klemke, R., Pesin, L., Hüttenhain, R.: Adaptive Learning Environment (ALE) for Teaching and Learning in WINDS. In: De Bra, P., Brusilovsky, P., Conejo, R. (eds.) AH 2002. LNCS, vol. 2347, pp. 572–581. Springer, Heidelberg (2002)
Attewell, J.: Mobile technologies and learning: A technology update and mlearning project summary. Learning and Skills Development, http://www.m-learning.org/reports.shtml
Romero, C., Ventura, S., Hervás, C., De Bra, P.: An Authoring Tool for Building Both Mobile Adaptable Tests and Web-Based Adaptive or Classic Tests. In: Wade, V., Ashman, H., Smyth, B. (eds.) AH 2006. LNCS, vol. 4018, pp. 203–212. Springer, Heidelberg (2006)
Attewell, J.: From Research and Development to Mobile Learning: Tools for Education and Training Providers and their Learners, http://www.mlearn.org.za/CD/papers/Attewell.pdf
Negnevitsky, M.: Artificial Intelligence: A guide to Intelligent Systems, 2nd edn. Addison-Wesley, Reading (2005)
Zatarain-Cabada, R., Barrón-Estrada, M.L., Sandoval-Sánchez, G., Urías-Barrientos, E., Osorio-Velásquez, M., Reyes-García, C.A.: EDUCA: A Web 2.0 Collaborative, Mobile and E-learning Authoring System. In: ICALT 2009, pp. 287–289 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zatarain-Cabada, R., Barrón-Estrada, M.L., Angulo, V.P., García, A.J., García, C.A.R. (2010). A Framework for Creating, Training, and Testing Self-Organizing Maps for Recognizing Learning Styles. In: Zhang, X., Zhong, S., Pan, Z., Wong, K., Yun, R. (eds) Entertainment for Education. Digital Techniques and Systems. Edutainment 2010. Lecture Notes in Computer Science, vol 6249. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14533-9_6
Download citation
DOI: https://doi.org/10.1007/978-3-642-14533-9_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14532-2
Online ISBN: 978-3-642-14533-9
eBook Packages: Computer ScienceComputer Science (R0)